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It is an accredited fact that only the education can provide a solid foundation for the social and economic development. In the same line, the Higher Educational Institutions (HEIs) can play a very prominent role in the uplift of the educational standards. The number of highly qualified and experienced teachers is not proportional to the needs of the HEIs. In every country, the criterion as furnished by the corresponding authorities is also too strict to be followed in its true format. The problem of the short fall in the qualified teachers is further aggravated by the phenomenon of intention to leave (ITL). It is observed that due to the job burnout and absenteeism, the downward trends in the commitment level induce the ITL. Consequently, the concerned institution has to carry the administrative, academic and economic burdens. Therefore, the factors behind the ITL should be sorted and analyzed on priority basis to bring down the rate of switchover among the faculty members.

Despite being one of the most conflict-prone species in India, the Nilgai antelope Boselaphus tragocamelus has received little scientific attention. In this study, we address this knowledge gap by conducting an analysis of secondary data extracted from print media reports on Human-Nilgai negative interactions at the regional scale (tehsils and districts) across different states of India. Our findings revealed notable variations in conflict levels among different states, with Bihar emerging as the most affected (86 tehsils and 22 districts), followed by Madhya Pradesh (34 tehsils; 21 districts) and Uttar Pradesh (33 tehsils; 20 districts). Within Bihar, Muzaffarpur and East Champaran districts stand out for their high conflict levels. Crop raiding by different populations of Nilgai is identified as the primary cause of the negative interaction, with a relative frequency of occurrence of 98%. Attacks on humans by nilgai, although rare, accounted for a relative frequency of occurrence of only 1.2%. Additionally, newspapers reported retaliatory killings, with a relative frequency of occurrence of 0.84%. Between 2018 and 2022, nilgai populations were documented raiding 45 distinct crop types. Analysis of these raids revealed varying frequencies across different crop categories, with vegetables being the most heavily targeted (31%), followed by pulses (22%) and cereals (20%). Our study identifies priority tehsils and districts across different states in the country where studies aiming at nilgai-crop interactions, population dynamics, and movement ecology can be carried out to devise effective mitigation measures. [ABSTRACT FROM AUTHOR]

The Nicobar Bulbul Ixos nicobariensis is an endemic species found across the central Nicobar Islands whose systematic position has been debated for many decades. Its current placement in the genus Ixos is tentative and is based on morphological similarities and geographical affinities to other members of the genus. We used mitochondrial and nuclear markers to examine its phylogenetic relationship to other members of Ixos and Hypsipetes. Our results indicate that the Nicobar Bulbul is sister to members of the genus Hypsipetes, and not Ixos. We further discuss the origin of this species based on the results of our study. [ABSTRACT FROM AUTHOR]

This research paper has assessed the nexus between organizational justice and innovative work behavior. Also mediating role of knowledge sharing was assessed. Three facets model of OJ has been extensively researched in the last couple of decades. However, spatial and temporal justice has been incorporated in the current paper. Thus, SJ, TJ, Interactional, Procedural and Distributive justice were conceptualized as facets of OJ and their impact on IWB was assessed. Academicians were inquired whether or not perceptions relating to fairness affect their IWB's level at workplace. Furthermore, mediating effect of KS between OJ and IWB was also assessed. A strong positive association was found among the research variables. Predictor significantly affect criterion variable and composite as well as component level assessment of OJ revealed KS as partial mediator between IV and DV. [ABSTRACT FROM AUTHOR]

Biological invasions threaten biodiversity and human wellbeing, with developing tropical countries being more vulnerable. Despite the urgency to reduce impacts of invasions, management interventions are constrained by unavailability of timely information on invasive species occurrence, potential drivers and restoration priorities. Generating this information at biogeographic scales can be costly, unless integrated with multi‐objective biodiversity monitoring.Invasive plant monitoring is integrated with India's national‐scale tiger population assessment, wherein natural areas are sampled at 25 km2 scale to inventory plants. In 2018, a total of 158,979 plots were sampled covering ~358,550 km2. We used 206,393 locations of high concern invasive plants to model their distribution using socio‐ecological covariates and identify potential drivers of invasions. Considering the invasion magnitude and financial constraints in management, we further identified priority restorations sites at national‐scale to maximise biodiversity outcomes.High‐concern invasive plants were recorded from ~254,880 km2 (72% sampled area) and modelled to invade in total ~750,905 km2 (66%) Indian natural systems. While open and deciduous ecosystems were the highest invaded by woody plants, areas with extreme climate and less anthropic pressure were least invaded. Since managing invasions across their range seemed futile due to costly (~13.5 billion USD for one‐time management) and ineffective strategies, restoration priority was assigned to least invaded areas (11% protected areas, 23% multi‐use) to maximise biodiversity returns.Synthesis and applications: India implemented national‐scale invasive plant monitoring by integrating it with the umbrella project on tiger assessment. Embarking on this big data, we show that two‐thirds of India's natural areas are under multiple plant invasions, owing to the legacy of anthropogenic modifications. Our study offers a restoration priority model, empowering policymakers to devise adaptive strategies for restoring invaded biomes and maximizing biodiversity returns. [ABSTRACT FROM AUTHOR]